CCDFits

This package provides utilities to work with .fits files that were taken with CCDs. It provides a FITS class to easily view and analyse images, along with useful functions to process them. It is particularly useful for Skipper CCD images, which can be calibrated by fitting gaussians to the zero- and one-electron peaks.

Installation

Pre-requisites

This library has been developed for Python 3.

ccdfits requires the following packages:

• numpy
• scipy
• astropy
• matplotlib

In addition, if you intend to use ccdfits.processing, you will also need to install:

• scikit-learn (for cal2phys)
• scikit-image (for generateMask)

Install ccdfits via pip:

python -m pip install ccdfits

Installing latest public version (may be different from that on pypi)

python -m pip install git+https://gitlab.com/nicolaseavalos/ccdfits.git

Usage

The following example shows how to load and view a .fits image. Replace 'ccd-image.fits' with a string indicating the full or relative path to the image you are trying to load.

# imports
from ccdfits import Fits
import matplotlib.pyplot as plt
plt.ion()

# set the image path
fits_path = 'ccd-image.fits'

# load and view the image
img = Fits(fits_path)
img.view()

Complete documentation is in process.

Changelog

Version 1.1

• Added more options to event extraction

Version 1.0

• FITS class renamed to Fits
• Some documentation inside the code
• Various changes throughout the library

Hotfix 0.3.1

• Optimized for installation via pip

Version 0.3.0

• Added skp2raw_lowmem function to ccdfits.processing

Hotfix 0.2.1

• Added subtract_baseline option to ccdfits.processing.raw2proc

Version 0.2.0

• Added skp2raw function to ccdfits.processing